YData was recognized as the best synthetic data vendor! Read the complete benchmark.
Synthetic Data for Aligning ML Models to Business Value

Synthetic Data for Aligning ML Models to Business Value

I improved a model to save a hypothetical auto insurance company almost $200 per claim! One of the biggest mistakes that junior data scientists make is focusing too much on model performance while remaining naive about the model’s impact...

Synthetic Data

10 Most Asked Questions on ydata-synthetic

1. What is the ydata-synthetic and what does it do? ydata-synthetic is an open-source Python package developed by YData’s team that allows users to experiment with several generative models for synthetic data generation. The main goal of...

Time-series synthetic data generation

The trade-offs of time-series synthetic data generation

Cover Photo by Nick Chong on Unsplash Synthetic data is artificially generated data that is not collected from real-world events and does not match any individual's records. It replicates the statistical components of real data without...

community

Top 5 online communities to grow as a data scientist

Are you a data scientist looking to connect with other like-minded individuals, learn new skills, and stay up-to-date on the latest trends and technologies in data science? If so, there are several online communities that you should...

Generative AI described by Generative AI

What is Generative AI according to Generative AI?

Cover Photo by Gerard Siderius on Unsplash Generative AI products can create new content similar to what humans produce. What does it mean? It can generate text, images, videos, or even music resembling what a person might create....

synthetic data generation for transactional datasets in Finance

Democratized access for large transactional datasets

Cover Photo by Avery Evans on Unsplash The value of data and the adoption of data-driven strategies have proven valuable for many organizations, particularly the financial services sector, with cases ranging from fraud detection to...

smart sensor, turbines, energy

Detecting the failures that are worth preventing

Cover Photo by Nicholas Doherty on Unsplash The adoption of a data-driven strategy for Predictive Maintenance empowers energy and utility industries. A successful Predictive Maintenance implementation can reduce maintenance costs by...

Smart grid predictive maintenance

EDP reduces costs and improves reliability with YData's solutions

Cover Original Photo by Alina Grubnyak on Unsplash Smart meters are crucial for the energy sector's increase of service efficiency - as they allow new service development and build better customer relationships. At the heart of EDP smart...

High scores in Retail Banking

A data-centric AI approach to Credit Scoring in Retail Banking

Credit scoring in retail banking traditionally involved manual evaluation of payment behavior, age, wage, gender, zip code, and other personal information. However, with the growth of financial institutions and the volume of data,...

Essential Tool for Data-Driven

Data Fabric: An Essential Tool for Data-Driven Organizations

Data management and analysis are critical tasks for organizations in today's digital age. With the increasing volume and complexity of information being generated every day, it is becoming more and more challenging to manage the most...

10 FAQ synthetic data

10 Most Frequently Asked Questions about Synthetic Data

What you’ve always wanted to know about this exciting AI trend Synthetic Data has been quite a buzzword on the top of everybody’s tongue for the last few months. While its benefits seem to be tremendous for organizations, there seem to be...

Privacy preserving synthetic data

Identity Disclosure Risk in a Fully Synthetic Dataset

In today's digital age, data has become an integral part of every organization's operations. Companies gather and analyze vast amounts of data to make informed decisions and gain insights into their customers' behavior and preferences....

Subscribe our newsletter for latest updates